Job Description
Within D+A’s Enterprise Data Operations organization, the Technical Data Product Management Manager delivers three critical dimensions:
End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, allocation
Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation
Drive coordination between Domains, Products and Projects to help drive re-use and reduce redundancy/duplication in the D+A and broader PEP portfolio
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
5+ years experience in product management, understanding data and analytics methodologies
Experience in understanding queries in SQL and Databricks using Azure cloud
2+ years of experience working in Food & Beverage, Consumer Products or Retail industries
Experience building, leading and designing data-based solutions on large scale projects
Experience working in a data-centric environment
End to end data sets
Sequence of data
Data roadmapping
Enterprise data warehousing
Experience in directing and managing scrum teams of data engineers and data governance
Help in forecast planning for production with internal data products
Agile experience
#J-18808-Ljbffr